Fueling innovative software
July 15-18, 2019
Portland, OR

Digital discrimination: Cognitive bias in machine learning

Maureen McElaney (IBM)
11:50am–12:30pm Wednesday, July 17, 2019
Incorporating Artificial Intelligence
 Location: C123-124
Secondary topics:  AI Enhanced
Average rating: ****.
(4.73, 11 ratings)
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Who is this presentation for?

  • Developers, data scientists, and machine learning developers

Level

Beginner

Description

With increasing regularity we see stories in the news about machine learning algorithms causing real-world harm to people’s lives and livelihoods.

Maureen McElaney examines how bias can take root in machine learning algorithms and ways to overcome it. From the power of open source to tools built to detect and remove bias in machine learning models, there’s a vibrant ecosystem of contributors working to build a digital future that’s inclusive and fair. Join in to learn how to become part of the solution.

What you'll learn

  • Learn the basics of machine learning, open source tools for incorporating machine learning in web and mobile applications, and open source tools built to combat bias in machine learning models
  • Gain skills for identifying bias
Photo of Maureen McElaney

Maureen McElaney

IBM

Maureen McElaney is a developer advocate at the IBM Center of Open Source Data and AI Technologies, where she enjoys broadening IBM’s understanding and involvement in open source communities. Previously, she was a QA engineer at Dealer.com. An experienced community builder, founding her local chapter of Girl Develop It, she’s passionate about building tools that increase developer productivity and joy.